Local-first usage, cost & burn-rate analytics for Claude Code — CLI reports + web dashboard. Zero dependencies.
Live provider usage, balances, burn rate, and key health for AI spend. Provider-agnostic, zero dependencies, local-first.
An app that lets you determine the height of the candle based on how long it has been burning.
Monitor your claude code usage from the comfort of your task bar with 5hr session time predictions based on your usage habits. Also shows 5hr and 7d limit statuses
Free Claude artifact by Brinvik (www.brinvik.com). Business runway, cash flow forecast, burn rate, break even and receipt tracker for solo founders, freelancers and small teams. Pulls invoices from Gmail, sorts receipts in Google Drive. Setup prompt included. Star it if it helps!
Real-time status bar for Claude Code showing model, token usage, cost, burn rate, and time remaining. Passwordless one-line install; includes a Next.js dashboard.
Interactive simulator for SLO error budgets, incident burn rates, and multi-window alerting.
SLO specs in YAML to Prometheus recording rules and multi-window multi-burn-rate alerts, with promtool timing tests proving a fast burn pages in minutes and healthy traffic stays quiet. 3 SLI templates, 70 unit tests, documented math. Python 3.9+, PyYAML only. MIT.
Forkable 3-year EdTech SaaS financial model for revenue, unit economics, P&L, burn, and runway.
Post-award contract portfolio management dashboard. Computes EVM proxy metrics (burn rate, CPI, EAC, schedule variance), classifies contract health across six states, and projects final cost at current burn rate before a budget ceiling is breached.
Forecast SLO error-budget exhaustion and correlate burn spikes to the change that caused them. Prometheus-native, single-container.
Multi-window burn-rate alerts and Grafana dashboards from a YAML SLO spec
Rich, configurable Claude Code status line — model, context + burn rate, rate limits, git state, GitHub Actions CI, monthly + today/hourly Anthropic/OpenAI cost, weather, service health. Minimal/detail toggle + interactive builder agent.
SLO compliance, error budgets, and multi-window burn rate from Prometheus — markdown reports + CI-friendly check command
Multi-window multi-burn-rate SLO alerting over spans, with an honest 3-regime benchmark: a naive threshold detects real regressions faster, but raises 3 false pages on healthy spiky traffic where multi-window raises 0. The value is precision, not speed, and the benchmark proves it both ways.
LLM telemetry you can gate on: cost accounting against a versioned price book, multi-window burn-rate error budgets, and a command that exits non-zero when an objective is missed.
SLO tracker with multi-window burn rate alerting — Google SRE Workbook model in Python
Finance Cockpit is a Jira Project Page app that gives engineering, product, and finance teams a real-time view
SLO + error-budget tracker for Python services. FastAPI middleware, Prometheus exporter, multi-window burn-rate alerts. Part of the Platform Reliability Stack.
To associate your repository with the burn-rate topic, visit your repo's landing page and select "manage topics."